| dbo:abstract |
Dask és una biblioteca de codi obert per a programació paral·lela i computació distribuïda en Python creada per Matthew Rocklin a finals del 2014. Treballa amb l'ecosistema Python prèviament existent, permetent escalar programes a computadors multinucli i a clústers sense haver de sacrificar funcionalitats. (ca) Dask is a flexible open-source Python library for parallel computing. Dask scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, Scikit-learn and NumPy. It also exposes low-level APIs that help programmers run custom algorithms in parallel. Dask was created by Matthew Rocklin in December 2014 and has over 9.8k stars and 500 contributors on GitHub. Dask is used by retail, financial, governmental organizations, as well as life science and geophysical institutes. Walmart, Wayfair, JDA, GrubHub, General Motors, NVIDIA, Harvard Medical School, Capital One and NASA are among the organizations that use Dask. (en) |
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Matthew Rocklin (en) |
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Dask (en) |
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Data analytics (en) |
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Dask és una biblioteca de codi obert per a programació paral·lela i computació distribuïda en Python creada per Matthew Rocklin a finals del 2014. Treballa amb l'ecosistema Python prèviament existent, permetent escalar programes a computadors multinucli i a clústers sense haver de sacrificar funcionalitats. (ca) Dask is a flexible open-source Python library for parallel computing. Dask scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, Scikit-learn and NumPy. It also exposes low-level APIs that help programmers run custom algorithms in parallel. Dask was created by Matthew Rocklin in December 2014 and has over 9.8k stars and 500 contributors on GitHub. (en) |
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